Summarizing research findings in structural equation modeling: a meta-analytic approach.

• Other Authors: Cheung, Mike W. L.
• Format: Others
• Language: English; Chinese
• Published: 1999
• Subjects: Psychology > Statistical methods
• Online Access: http://library.cuhk.edu.hk/record=b5889858; http://repository.lib.cuhk.edu.hk/en/item/cuhk-322769

Mike W.L., Cheung. === Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. === Includes bibliographical references (leaves 52-58). === Abstract also in Chinese. === ACKNOWLEDGMENTS --- p.2 === ABSTRACT --- p.3 === TABLE OF CONTENTS --- p.5 === Chapter CHAPTER 1 --- INTRODUCTION OF RESEARCH TOPIC --- p.8 === Structural equation modeling as an important statistical technique in behavioral sciences --- p.8 === Meta analysis as a statistical technique to combine information --- p.9 === Objectives of the present study --- p.10 === Chapter CHAPTER 2 --- COMMON METHODS USED IN SUMMARIZING RESEARCH FINDINGS AND THEIR PROBLEMS --- p.11 === Potential problems in individual study --- p.11 === Overviews of meta analysis --- p.12 === Common methods of summarizing research findings in SEM --- p.13 === Stage 1: Estimating the pooled correlation matrix --- p.14 === Test for homogeneity before combining --- p.14 === Correction for artifacts --- p.15 === Method 1: Averaging by the weighted correlation coefficients --- p.16 === Method 2: Averaging by the weighted Fisher z transformed correlation coefficients --- p.17 === Choices of weightings --- p.17 === Potential problems of common methods in stage1 --- p.19 === Stage 2: Fitting the proposed model --- p.20 === Potential problems of common methods in stage2 --- p.20 === Chapter CHAPTER 3 --- PROCEDURES OF THE NEW PROPOSED TWO-STAGE METHOD --- p.23 === Introduction --- p.23 === Terminology of SEM in single group --- p.23 === Terminology of SEM in multigroup --- p.26 === The proposed two-stage method --- p.27 === Stage 1: Estimating the pooled correlation matrix --- p.27 === An artificial example --- p.29 === Stage 2: Fitting the SEM model --- p.30 === Advantages of the proposed two-stage method --- p.31 === Chapter CHAPTER 4 --- SIMULATION STUDY OF THE PROPOSED METHOD WITH THE COMMON METHODS --- p.33 === Introduction --- p.33 === Method --- p.33 === Results and discussion --- p.38 === Chapter CHAPTER 5 --- A REAL EXAMPLE FITTING PATH MODEL --- p.44 === Introduction --- p.44 === A real example --- p.44 === Results and discussion --- p.45 === Chapter CHAPTER 6 --- "LIMITATIONS, FUTURE DIRECTIONS AND CONCLUSION" --- p.48 === Summaries of the proposed two-stage method and findings --- p.48 === Limitations and future directions --- p.49 === REFERENCES --- p.52 === APPENDIX A --- p.59 === APPENDIX B --- p.60 === APPENDIX C --- p.62 === FOOTNOTES --- p.82 === TABLE 1 TO TABLE8 --- p.84 === FIGURE CAPTION --- p.97 === FIGURE1 --- p.98 === FIGURE2 --- p.99